Triple

T18808576
Position Surface form Disambiguated ID Type / Status
Subject DUR E459942 entity
Predicate associatedICAOCode P36333 FINISHED
Object FALE NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FALE | Statement: [DUR, associatedICAOCode, FALE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FALE
Context triple: [DUR, associatedICAOCode, FALE]
  • A. FALE chosen
    FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
  • B. Fale
    Fale is a village settlement on the atoll of Fakaofo in Tokelau, a New Zealand-administered territory in the South Pacific.
  • C. FALA
    FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
  • D. FALY
    FALY is the ICAO airport code assigned to Ladysmith Airport in South Africa.
  • E. FAEL
    FAEL is the ICAO airport code for King Phalo Airport in East London, South Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d9c49c8190a9d29a25f0c977b2 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.